| Literature DB >> 25999867 |
Qiu Ting Chie1, Cai Lian Tam1, Gregory Bonn2, Chee Piau Wong1, Hoang Minh Dang3, Rozainee Khairuddin4.
Abstract
In recent years, there have been increasing accounts of illegal substance abuse among university students and professional groups in Malaysia. This study looks at university students' perceptions about this phenomenon. Students from Malaysian universities were asked for their impressions about drug availability and abuse, as well as factors contributing to drug abuse and relapse. The questionnaire also inquired into their knowledge and views regarding government versus private rehabilitation centers, as well as their exposure to, and views about, school-based drug-prevention education. Participants were 460 university students from five Malaysian states: Penang, Selangor, Kuala Lumpur, Sabah, and Sarawak. Results showed gender differences in perceptions of relapse prevention strategies, as well as factors leading to drug abuse and relapse. Students also believed that drug education would be more effective if initiated between the ages of 11 and 12 years, which is slightly older than the common age of first exposure, and provided suggestions for improving existing programs. Implications of student perceptions for the improvement of current interventions and educational programs are discussed.Entities:
Keywords: contributory factors; drug abuse; drug knowledge; higher education; prevention education
Year: 2015 PMID: 25999867 PMCID: PMC4421936 DOI: 10.3389/fpsyt.2015.00065
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Commonality and ease of availability of substances according to mode rankings.
| Type of drugs | Ranking mode ( | |
|---|---|---|
| Commonality | Availability | |
| Ecstasy | 1 | 1 |
| Heroin | 1 | 2 |
| Morphine | 5 | 5 |
| Kratom/ketum leaves | 10 | 1 |
| Cannabis | 1 | 1 |
| Opiates | 7 | 7 |
| Methamphetamine | 3 | 6 |
| Amphetamine | 9 | 8 |
| Psychoactive pills | 8 | 10 |
| Ketamine | 10 | 10 |
Gender differences in the perception of contributory factors.
| Drug use factors | Participants ( | Mann–Whitney | |||
|---|---|---|---|---|---|
| Male ( | Female ( | ||||
| Mean rank | Mean rank | ||||
| To rid of personal sufferings | 212.97 | 236.55 | 18110.00 | −1.83 | 0.07 |
| Problematic family communication | 218.70 | 234.57 | 18786.00 | −1.20 | 0.23 |
| Life stresses | 221.27 | 233.68 | 9089.00 | −0.96 | 0.34 |
| Curiosity | 217.78 | 234.89 | 18676.50 | −1.27 | 0.20 |
| Uneducated | 246.41 | 225.01 | 18300.50 | −1.56 | 0.12 |
| Influence of media portrayals | 223.58 | 232.89 | 19361.50 | −0.69 | 0.49 |
| Drug-dependent peers | 215.79 | 235.57 | 18442.50 | −1.50 | 0.13 |
| Social environment | 226.27 | 231.96 | 19679.00 | −0.44 | 0.66 |
| Weak-willed | 233.36 | 229.51 | 19840.50 | −0.28 | 0.77 |
| Unemployment | 205.58 | 239.10 | 17237.00 | −2.45 | <0.05 |
Gender comparisons of contributory factors of drug relapse.
| Drug relapse factors | Participants ( | Pearson’s chi-square test | ||||
|---|---|---|---|---|---|---|
| Male ( | Female ( | |||||
| No | Yes | No | Yes | χ2 (df = 1) | ||
| Lack of self-efficacy | 20 (16.9%) | 98 (83.1%) | 63 (18.4%) | 279 (81.6%) | 0.129 | 0.782 |
| Lack of family support | 21 (17.8%) | 97 (82.2%) | 42 (12.3%) | 300 (87.7%) | 2.258 | 0.161 |
| Lack of community support | 45 (38.1%) | 73 (61.9%) | 105 (30.7%) | 237 (69.3%) | 2.206 | 0.141 |
| Lack of employer support | 78 (66.1%) | 40 (33.9%) | 229 (67.0%) | 113 (33.0%) | 0.029 | 0.475 |
| Peer influence | 28 (23.7%) | 90 (76.3%) | 75 (21.9%) | 267 (78.1%) | 0.163 | 0.387 |
Gender differences in the perception of strategies to overcome drug relapse.
| Relapse strategies | Participants ( | Mann–Whitney | |||
|---|---|---|---|---|---|
| Male ( | Female ( | ||||
| Mean rank | Mean rank | ||||
| Forget the past and make life changes | 232.75 | 229.72 | 19912.00 | −0.23 | 0.82 |
| Breaking unhealthy relationships | 228.96 | 231.03 | 19996.50 | −0.16 | 0.87 |
| Keeping busy with healthy activities | 219.93 | 234.15 | 18931.00 | −1.14 | 0.26 |
| Listen to music | 215.09 | 235.82 | 8359.50 | −1.53 | 0.13 |
| Building supportive social networks | 199.92 | 241.05 | 16570.00 | −3.18 | <0.01 |
| Caution with medication | 212.37 | 236.76 | 18038.50 | −1.87 | 0.06 |
| Learning stress management | 201.33 | 240.56 | 16736.50 | −3.02 | <0.01 |
| Constant communication with recovery doctors | 206.61 | 238.09 | 17359.00 | −2.45 | <0.05 |
| Consult rehab centers | 205.68 | 239.06 | 17249.00 | −2.57 | <0.05 |
| Limit places to visit | 217.16 | 235.10 | 18604.00 | −1.31 | 0.19 |
| Do not carry too much money | 224.74 | 232.49 | 19498.50 | −0.57 | 0.57 |
| Believe in overcoming problems | 215.91 | 234.82 | 18358.00 | −1.44 | 0.15 |
| Be active in skillful areas | 226.17 | 232.00 | 19666.50 | −0.45 | 0.65 |
Information resource on drug misuse and prevention issues by ranking mode.
| Resources | Ranking mode | Responses (%) |
|---|---|---|
| Internet resources (websites, blogs) | 1 | 192 (41.7) |
| Newspaper/magazine articles | 3 | 96 (20.9) |
| Brochures/posters/pamphlets | 4 | 73 (15.9) |
| Social sites (Facebook/Twitter) | 5 | 114 (24.8) |
| Books | 5 | 87 (18.9) |
Figure 1The four most highly cited medium for information-sharing.
Descriptive statistics and paired-sample .
| Variable | Minimum | Maximum | Mean | SD | df | ||
|---|---|---|---|---|---|---|---|
| Age of exposure (years) | 6 | 20 | 10.57 | 5.704 | −2.896 | 412 | 0.004 |
| Age appropriate for prevention initiation (years) | 4 | 18 | 11.68 | 3.226 |
Figure 2Thematic summary of suggestions for improvement in drug-prevention education.